Camera-Based Stop Detection with Region-Exclusion Speed Calculation
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Solution Overview
Problem
Existing stop detection technologies rely on synchronization of positioning data and sensor data, which can lead to accuracy degradation due to synchronization gaps.
Innovation Solution
A stop detection device that utilizes a vehicle-mounted camera to acquire and process images chronologically, identifying stop positions and calculating vehicle speed by excluding specific regions from captured images to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If positioning data and sensor data are used to judge stop operation, then stop detection can be achieved, but synchronization gaps occur between data leading to degraded accuracy
Solution Approach 1:
The patent segments the image into multiple regions (first region, second region, third region) with different weights for speed calculation. By dividing the image into weighted regions, the system can focus on specific areas that are less affected by synchronization issues while maintaining overall detection accuracy.
Solution Approach 2:
The patent applies different quality weights to different regions of the image. The first region (where the stop mark is located) is given higher weight, while other regions are given lower weights. This local quality differentiation ensures that the most reliable visual information is prioritized in the speed calculation, compensating for synchronization gaps in the overall system.
2Measurement precision
If all regions of captured images are used for speed calculation, then more data is available, but accuracy is reduced due to inclusion of irrelevant or misleading regions
Solution Approach 1:
The patent extracts and isolates the specific region containing the stop mark from the rest of the image. By taking out only the relevant first region where the stop mark is located, the system eliminates irrelevant image data that could introduce errors into the speed calculation, thereby improving measurement precision.
Solution Approach 2:
The patent assigns different quality weights to different image regions, with the first region (containing the stop mark) receiving the highest weight. This approach focuses the speed calculation on the most reliable and relevant local information, excluding misleading regions from having significant impact on the result.
3Adaptability or versatility
If multiple sensors are used for stop detection, then detection capability is enhanced, but device complexity increases
Solution Approach 1:
The patent makes the camera system multi-functional by using it for both stop mark detection and vehicle speed calculation. Instead of requiring separate sensors for these functions, the same imaging device performs multiple tasks, reducing device complexity while maintaining enhanced detection capability.
Solution Approach 2:
The patent merges the functions of stop detection and speed measurement into a single integrated system using the camera. By combining these functions and processing the same image data for multiple purposes, the system reduces the number of components needed while maintaining versatile detection capabilities.
Data Source
AI summary
A stop detection device includes: an acquirer that acquires multiple captured images captured in chronological order by a camera mounted on a vehicle; an image processor that performs image processing on acquired multiple captured images; and a detector that detects vehicle speed of a vehicle at a stop position based on a result of image processing. The image processor includes a stop position identification unit that detects a marking indicating a stop position from a captured image to identify a stop position, and a vehicle speed calculation unit that calculates vehicle speed by comparing captured images in chronological order. The vehicle speed calculation unit excludes a specific region from each of multiple captured images to compare captured images.